Deborah Farson

1.7k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Deborah Farson is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Deborah Farson has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Oncology. Recurrent topics in Deborah Farson's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Deborah Farson is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Deborah Farson collaborates with scholars based in United States and Italy. Deborah Farson's co-authors include Mina J. Bissell, Judith Aggeler, John R. Hassell, H.Glenn Hall, Lu Qin, M H Finer, Donna O. Bunch, G. Greenburg, Ryan McGuinness and Antonín Bukovský and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.

In The Last Decade

Deborah Farson

13 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Influence of a reconstituted basement membrane and its components on casein gene expression and secretion in mouse mammary epithelial cells.

1987 516 citations Judith Aggeler, Deborah Farson et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Deborah Farson United States	12	778	539	462	215	203	14	1.4k
Pervin Anklesaria United States	22	1.0k 1.3×	385 0.7×	486 1.1×	147 0.7×	416 2.0×	56	2.1k
Joan B. Christensen United States	12	803 1.0×	260 0.5×	483 1.0×	77 0.4×	118 0.6×	18	1.4k
E Y Lee United States	12	979 1.3×	415 0.8×	883 1.9×	204 0.9×	110 0.5×	14	1.8k
G J Dougherty Canada	19	741 1.0×	173 0.3×	327 0.7×	344 1.6×	430 2.1×	36	1.8k
L Weir United States	12	1.2k 1.6×	449 0.8×	184 0.4×	132 0.6×	374 1.8×	14	2.0k
Kyonggeun Yoon United States	21	1.3k 1.7×	551 1.0×	220 0.5×	151 0.7×	183 0.9×	39	1.8k
Sirpa Aho United States	28	857 1.1×	160 0.3×	181 0.4×	452 2.1×	131 0.6×	60	2.0k
Markus Braun‐Falco Germany	22	608 0.8×	282 0.5×	344 0.7×	318 1.5×	171 0.8×	75	1.6k
Kunjlata M. Amin United States	23	649 0.8×	688 1.3×	417 0.9×	65 0.3×	243 1.2×	28	1.6k
Paul Tolstoshev United States	27	1.8k 2.3×	1.5k 2.7×	533 1.2×	145 0.7×	232 1.1×	49	3.0k

Countries citing papers authored by Deborah Farson

Since Specialization

Citations

This map shows the geographic impact of Deborah Farson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deborah Farson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Farson more than expected).

Fields of papers citing papers by Deborah Farson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah Farson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deborah Farson. The network helps show where Deborah Farson may publish in the future.

Co-authorship network of co-authors of Deborah Farson

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Farson. A scholar is included among the top collaborators of Deborah Farson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deborah Farson. Deborah Farson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Farson, Deborah, et al.. (2006). Development of Novel E1-Complementary Cells for Adenoviral Production Free of Replication-Competent Adenovirus. Molecular Therapy. 14(2). 305–311. 8 indexed citations

2.

Farson, Deborah, Thomas C. Harding, Jun Liu, et al.. (2004). Development and characterization of a cell line for large‐scale, serum‐free production of recombinant adeno‐associated viral vectors. The Journal of Gene Medicine. 6(12). 1369–1381. 53 indexed citations

3.

Farson, Deborah, Rochelle M. Witt, Ryan McGuinness, et al.. (2001). A New-Generation Stable Inducible Packaging Cell Line for Lentiviral Vectors. Human Gene Therapy. 12(8). 981–997. 117 indexed citations

4.

Farson, Deborah, Ryan McGuinness, Kay Limoli, et al.. (1999). Large‐scale manufacturing of safe and efficient retrovirus packaging lines for use in immunotherapy protocols. The Journal of Gene Medicine. 1(3). 195–209. 23 indexed citations

5.

Farson, Deborah, Ryan McGuinness, Kay Limoli, et al.. (1999). Large‐scale manufacturing of safe and efficient retrovirus packaging lines for use in immunotherapy protocols. The Journal of Gene Medicine. 1(3). 195–209.

6.

Roberts, Margo R., Keegan S. Cooke, Kevin M. Smith, et al.. (1998). Antigen-Specific Cytolysis by Neutrophils and NK Cells Expressing Chimeric Immune Receptors Bearing ζ or γ Signaling Domains. The Journal of Immunology. 161(1). 375–384. 55 indexed citations

7.

Roberts, Michelle, Keegan S. Cooke, K A Smith, et al.. (1998). Antigen-specific cytolysis by neutrophils and NK cells expressing chimeric immune receptors bearing zeta or gamma signaling domains.. PubMed. 161(1). 375–84. 67 indexed citations

8.

Greenburg, G., et al.. (1997). Persistent transgene expression in mouse liver following in vivo gene transfer with a ΔE1/ΔE4 adenovirus vector. Gene Therapy. 4(5). 393–400. 101 indexed citations

9.

Qin, Lu, et al.. (1994). kat: a high-efficiency retroviral transduction system for primary human T lymphocytes. Blood. 83(1). 43–50. 189 indexed citations

10.

Qin, Lu, et al.. (1994). kat: a high-efficiency retroviral transduction system for primary human T lymphocytes. Blood. 83(1). 43–50. 15 indexed citations

11.

Aggeler, Judith, et al.. (1987). Influence of a reconstituted basement membrane and its components on casein gene expression and secretion in mouse mammary epithelial cells.. Proceedings of the National Academy of Sciences. 84(1). 136–140. 516 indexed citations breakdown →

12.

Hall, H.Glenn, Deborah Farson, & Mina J. Bissell. (1982). Lumen formation by epithelial cell lines in response to collagen overlay: a morphogenetic model in culture.. Proceedings of the National Academy of Sciences. 79(15). 4672–4676. 230 indexed citations

13.

Schwarz, Richard I., Deborah Farson, & Mina J. Bissell. (1979). Requirements for maintaining the embryonic state of avian tendon cells in culture. In Vitro Cellular & Developmental Biology - Plant. 15(12). 941–948. 26 indexed citations

14.

Schwarz, R I, et al.. (1978). Primary avian tendon cells in culture. An improved system for understanding malignant transformation.. The Journal of Cell Biology. 79(3). 672–679. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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